... overall platform design, ensuring reliability, low latency, and smooth integration with product features. Requirements Must-haves: 7+ years of experience in Data Science designing robust end-to-end data workflows. At least 4 years of specific experience in forecasting techniques. Expert level in Python, Docker and cloud ...
... (on-prem & cloud), SAP Datasphere, and SAP Analytics Cloud (analytics & planning). - Experience with data integration patterns, ETL/ELT, semantic layers, master data management, and data governance. - Working knowledge of Databricks, Data Lake architectures and modern data stacks is a strong plus. - Experience with SAP Business ...
... track to reach €1 billion in revenue this year. Our Core Areas of Expertise Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. Cloud & Application Services: We integrate leading platforms ...
... Python Data Engineer – Market Microstructure Analytics Location & Work Model: Wrocław-based opportunity with on-site work (full-time) Introduction: As a Python Data Engineer, you will be working at the intersection of trading infrastructure and market microstructure. You will focus on developing robust data pipelines, analytical ...
... architectures, breaking them down into concrete data pipelines, models, and interfaces - Engineer data solutions across hybrid environments - Build and operate data components spanning on-premise systems and cloud platforms with secure, reliable data flows - Work in a Data Mesh/Data Product setup - Contribute to data products ...
An international consulting group is seeking a highly skilled Data Engineer to join their team in Warsaw. The role involves designing, developing, and optimizing ETL pipelines and maintaining high-performance data models. Candidates should have over 4 years of experience in ETL processes, strong expertise in SQL, and familiarity ...
... - Single - Telework Type: Full-Time Office/Project - Work Location: Lubiatowo - Salary Range: 298,200 - 387,100 PLN annually (salary range is based on market data; final salary offered is determined by education, experience, and qualifications of the applicant.) - For IA reqs only : “ International Assignee pay would be ...
Sr. Business Analyst / Data Analyst (Relocation to Poland) Sr. Business Analyst / Data Analyst (Relocation to Poland) Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed ...
... ASAP Project scope: Build and optimize modern data platforms on Azure and Databricks Design, develop, and maintain scalable data pipelines Build and optimize data lakehouse solutions supporting analytics, reporting, and regulatory needs Implement data ingestion from multiple sources (databases, APIs, files, messaging/ event ...
... transformation processes across Azure Data Lake and related services., Use Databricks, Delta Lake and Apache Spark to process, transform and manage large and complex datasets., Contribute to Microsoft Fabric solutions, including Lakehouse, Data Factory/Data Pipelines, notebooks and semantic data layers where appropriate., Apply ...
We are looking for a passionate Data Scientist who is eager to make an impact on their career and take on a new challenge! P&G Scaled Data Science Hub in Warsaw is dynamically growing and making impact across most key algorithmic investments of the Company. We work across problems and algorithmic products related to Retail, ...
A consulting group is seeking a Data Tech Specialist Developer for a hybrid role based in Warsaw, Poland. This position requires 5+ years of experience in the CIB Markets area, along with advanced technical skills in Spark, Scala, SQL, and more. The ideal candidate will manage projects and communicate complex concepts effectively ...
... segmentations and machine learning solutions - Strong understanding of statistics, exploratory data analysis, feature engineering and model evaluation - Experience with data mining processes, data preparation and data scraping - Ability to work with messy, real-world business data and convert it into useful analytical outputs - Experience ...
... Responsibilities: - Create and maintain data quality rules focused on data completeness and accuracy. - Support the implementation of standard and customized data quality validations for new accounts. - Work with business stakeholders and operational teams to understand data quality requirements and resolve identified issues. ...
... transformation processes across Azure Data Lake and related services., Use Databricks, Delta Lake and Apache Spark to process, transform and manage large and complex datasets., Contribute to Microsoft Fabric solutions, including Lakehouse, Data Factory/Data Pipelines, notebooks and semantic data layers where appropriate., Apply ...
... Responsibilities: Architect the Metadata Strategy: Define and lead the evolution of our Active Metadata framework within our Data Lakehouse platform. Enhance Data Discoverability: Design and implement patterns that make data easily searchable and understandable across the enterprise, utilizing tools like Databricks Genie ...
... APIs, files, cloud services). Develop and maintain efficient ETL/ELT processes and data workflows. Ensure data quality, integrity, and availability across the data lifecycle. Optimize data storage and processing for performance and cost efficiency. Design and maintain modern data architectures (Data Lake, Data Warehouse, ...
... segmentations and machine learning solutions - Strong understanding of statistics, exploratory data analysis, feature engineering and model evaluation - Experience with data mining processes, data preparation and data scraping - Ability to work with messy, real-world business data and convert it into useful analytical outputs - Experience ...
... challenges and drive continuous improvement initiatives through automation and process optimization. Stay current with emerging technologies and industry trends in Data Engineering, DevOps, Cloud Platforms, and AI-powered development. Qualifications Experience working in Data Engineering, Platform Engineering, DevOps Engineering, ...
... usage guidance) and partner with engineering to implement controls and alerts to ensure compliance. - Partner with Data Owners and Stewards to define critical data elements (CDEs), business glossaries, and data product/service expectations (e.g., incident categorization, assignment group, CI mapping, SLA clocks, telemetry ...